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TFqa-finetuned-distilbert-base-cased
jmparejaz/TFqa-finetuned-distilbert-base-cased
TFqa-finetuned-distilbert-base-cased is a machine learning model from jmparejaz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
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Repo size
526 MB
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At a glance
- Library
- keras
- Access
- Public
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023
- SHA
- 14d29e2e
Spaces
Model card
From the Hugging Face model README
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
|---|---|
| name | AdamWeightDecay |
| learning_rate.class_name | WarmUp |
| learning_rate.config.initial_learning_rate | 0.0002 |
| learning_rate.config.decay_schedule_fn.class_name | PolynomialDecay |
| learning_rate.config.decay_schedule_fn.config.initial_learning_rate | 0.0002 |
| learning_rate.config.decay_schedule_fn.config.decay_steps | 22180 |
| learning_rate.config.decay_schedule_fn.config.end_learning_rate | 0.0 |
| learning_rate.config.decay_schedule_fn.config.power | 1.0 |
| learning_rate.config.decay_schedule_fn.config.cycle | False |
| learning_rate.config.decay_schedule_fn.config.name | None |
| learning_rate.config.decay_schedule_fn.passive_serialization | True |
| learning_rate.config.warmup_steps | 2 |
| learning_rate.config.power | 1.0 |
| learning_rate.config.name | None |
| decay | 0.0 |
| beta_1 | 0.8999999761581421 |
| beta_2 | 0.9990000128746033 |
| epsilon | 1e-08 |
| amsgrad | False |
| weight_decay_rate | 0.01 |
| training_precision | float32 |
Model Plot
<details> <summary>View Model Plot</summary>
- Library
- keras
- Created
- Jan 18, 2023
- Updated
- Jan 18, 2023